About CanvasKeep
CanvasKeep MCP Server lets AI tools create and manage Excalidraw diagrams in a CanvasKeep workspace. It supports scene-level reading and editing, folder organization, and automatic layout from nodes and edges.
Key features
- 01List and create workspaces and folders
- 02Create, rename, and delete diagrams
- 03Read and save Excalidraw scenes
- 04Generate diagrams with auto-layout
- 05Handle encrypted diagrams locally
Use cases
- 01Create architecture diagrams from node and edge descriptions
- 02Organize diagrams in workspace folders
- 03Read or revise encrypted diagram scenes
MCP support
The MCP server exposes tools for CanvasKeep workspaces, folders, and Excalidraw diagrams. Encrypted scenes are decrypted and re-encrypted locally with `CANVASKEEP_MASTER_KEY` when read or saved.
Configuration
Local server config is the same for every client. Copy it into your client’s MCP config file.
npx -y canvaskeep-mcpCANVASKEEP_API_KEYSecretAPI key from your CanvasKeep dashboard (profile menu, API Keys)CANVASKEEP_MASTER_KEYSecretNeeded to read or edit encrypted diagrams. Copy it from canvaskeep.com/dashboard/encryptionCANVASKEEP_API_URLAPI base URL, override for local developmentLocal servers need a runtime on your machine (e.g. Node.js 18+). Config file locations differ by client; see your client’s docs.
Tools
12Saved tool list · updated 2w ago
This tool takes no parameters.
Details
From the project READMECanvasKeep MCP Server
An MCP (Model Context Protocol) server that lets AI tools like Claude Code and Codex generate Excalidraw diagrams and save them directly into your CanvasKeep workspace.
Setup
1. Get an API key
- Log in to CanvasKeep
- Click your profile menu (top right) and select API Keys
- Generate a new key and copy it immediately (you won't see it again)
2. Install and register
Claude Code:
claude mcp add canvaskeep \
-e CANVASKEEP_API_KEY=ck_your_key_here \
-- npx canvaskeep-mcp
Codex / other MCP clients:
{
"mcpServers": {
"canvaskeep": {
"command": "npx",
"args": ["canvaskeep-mcp"],
"env": {
"CANVASKEEP_API_KEY": "ck_your_key_here"
}
}
}
}
3. Environment variables
| Variable | Required | Default | Description |
|---|---|---|---|
CANVASKEEP_API_KEY | Yes | - | Your API key from the CanvasKeep dashboard |
CANVASKEEP_MASTER_KEY | No | - | Needed to read or edit encrypted diagrams. Copy it from canvaskeep.com/dashboard/encryption (Key for the MCP server) |
CANVASKEEP_API_URL | No | https://canvaskeep.com | API base URL (override for local dev) |
Available tools
| Tool | Description |
|---|---|
list_workspaces | List all your workspaces |
create_workspace | Create a new workspace |
list_folders | List folders in a workspace |
create_folder | Create a new folder, optionally nested |
list_diagrams | List diagrams in a workspace |
create_diagram | Create a diagram, optionally inside a folder |
update_diagram | Rename a diagram |
delete_diagram | Permanently delete a diagram |
get_diagram_summary | Get diagram metadata and element count |
get_diagram_scene | Read the full Excalidraw scene of a diagram |
save_diagram_scene | Write a full Excalidraw scene back to a diagram |
generate_diagram | Generate a diagram from nodes and edges with auto-layout |
Encryption
Diagrams you encrypt in CanvasKeep stay encrypted when an AI tool works with them. When get_diagram_scene or save_diagram_scene touches an encrypted diagram, this server decrypts and re-encrypts it locally (AES-GCM, see src/encryption.ts) using CANVASKEEP_MASTER_KEY. The master key never leaves your machine.
generate_diagram sends the nodes and edges you give it to CanvasKeep, which lays them out on the server, so diagrams generated this way are stored unencrypted.
Example usage
Ask Claude Code something like:
"Draw an architecture diagram of a web app with a React frontend, Node API, PostgreSQL database, and Redis cache"
Claude will use the MCP tools to create a diagram in your CanvasKeep workspace with properly laid-out boxes and labeled arrows.
Development
git clone https://github.com/CanvasKeep/canvaskeep-mcp.git
cd canvaskeep-mcp
npm install
npm run build
CANVASKEEP_API_KEY=ck_... CANVASKEEP_API_URL=http://localhost:3000 node dist/index.js
To run your local build from Claude Code:
claude mcp add canvaskeep \
-e CANVASKEEP_API_KEY=ck_your_key_here \
-- node /path/to/canvaskeep-mcp/dist/index.js
License
Comments
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From what the protocol is to installing your first server, these answers cover most first questions.
An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.